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NQLSG Qwen2.5 14B OriginalFusion by Lunzima

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:lunzima/nqlsg-qwen2... Base model:prithivmlmods/equul... Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-coder-... Base model:sometimesanotion/la... Base model:sometimesanotion/la... Base model:suayptalha/lamarckv...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion 

NQLSG Qwen2.5 14B OriginalFusion Benchmarks

MMLU Pro: 47.09
GPQA: 17.45
MUSR: 23.95
BBH: 50.99
IFEval: 61.42 vs 88 (so35)-30.2%
MATH Lvl 5: 42.75
LLME Score: 0.39613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NQLSG Qwen2.5 14B OriginalFusion (Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion)

NQLSG Qwen2.5 14B OriginalFusion Parameters and Internals

LLM NameNQLSG Qwen2.5 14B OriginalFusion
Repository 🤗https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct-1M   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8   Lamarckvergence 14B   Qwen/Qwen2.5-14B-Instruct   LamarckInfusion 14B V1   DeepSeek R1 Distill Qwen 14B   Equuleus Opus 14B Exp   sometimesanotion/Lamarck-14B-v0.7-Fusion   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7   Qwen/Qwen2.5-Coder-14B-Instruct   Qwen/Qwen2.5-14B-Instruct-1M   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8   suayptalha/Lamarckvergence-14B   Qwen/Qwen2.5-14B-Instruct   sometimesanotion/LamarckInfusion-14B-v1   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B   prithivMLmods/Equuleus-Opus-14B-Exp   sometimesanotion/Lamarck-14B-v0.7-Fusion   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7   Qwen/Qwen2.5-Coder-14B-Instruct
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-03-12
MaintainerLunzima
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion.

Rank the NQLSG Qwen2.5 14B OriginalFusion Capabilities

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Instruction Following and Task Automation  
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